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The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative / Monica E. CALKINS in Journal of Child Psychology and Psychiatry, 56-12 (December 2015)
[article]
Titre : The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative Type de document : Texte imprimé et/ou numérique Auteurs : Monica E. CALKINS, Auteur ; Kathleen R. MERIKANGAS, Auteur ; Tyler M. MOORE, Auteur ; Marcy BURSTEIN, Auteur ; Meckenzie A. BEHR, Auteur ; Theodore D. SATTERTHWAITE, Auteur ; Kosha RUPAREL, Auteur ; Daniel H. WOLF, Auteur ; David R. ROALF, Auteur ; Frank D. MENTCH, Auteur ; Haijun QIU, Auteur ; Rosetta CHIAVACCI, Auteur ; John J. CONNOLLY, Auteur ; Patrick M. A. SLEIMAN, Auteur ; Ruben C. GUR, Auteur ; Hakon HAKONARSON, Auteur ; Raquel E. GUR, Auteur Article en page(s) : p.1356-1369 Langues : Anglais (eng) Mots-clés : Community cohort children adolescents young adults psychopathology mood anxiety behavior psychosis comorbidity structure genomics neuroimaging neurocognition public domain Index. décimale : PER Périodiques Résumé : Background An integrative multidisciplinary approach is required to elucidate the multiple factors that shape neurodevelopmental trajectories of mental disorders. The Philadelphia Neurodevelopmental Cohort (PNC), funded by the National Institute of Mental Health Grand Opportunity (GO) mechanism of the American Recovery and Reinvestment Act, was designed to characterize clinical and neurobehavioral phenotypes of genotyped youths. Data generated, which are recently available through the NIMH Database of Genotypes and Phenotypes (dbGaP), have garnered considerable interest. We provide an overview of PNC recruitment and clinical assessment methods to allow informed use and interpretation of the PNC resource by the scientific community. We also evaluate the structure of the assessment tools and their criterion validity. Methods Participants were recruited from a large pool of youths (n = 13,958) previously identified and genotyped at The Children's Hospital of Philadelphia. A comprehensive computerized tool for structured evaluation of psychopathology domains (GOASSESS) was constructed. We administered GOASSESS to all participants and used factor analysis to evaluate its structure. Results A total of 9,498 youths (aged 8–21; mean age = 14.2; European American = 55.8%; African American = 32.9%; Other = 11.4%) were enrolled. Factor analysis revealed a strong general psychopathology factor, and specific ‘anxious-misery’, ‘fear’, and ‘behavior’ factors. The ‘behavior’ factor had a small negative correlation (?0.21) with overall accuracy of neurocognitive performance, particularly in tests of executive and complex reasoning. Being female had a high association with the ‘anxious-misery’ and low association with the ‘behavior’ factors. The psychosis spectrum was also best characterized by a general factor and three specific factors: ideas about ‘special abilities/persecution,’ ‘unusual thoughts/perceptions’, and ‘negative/disorganized’ symptoms. Conclusions The PNC assessment mechanism yielded psychopathology data with strong factorial validity in a large diverse community cohort of genotyped youths. Factor scores should be useful for dimensional integration with other modalities (neuroimaging, genomics). Thus, PNC public domain resources can advance understanding of complex inter-relationships among genes, cognition, brain, and behavior involved in neurodevelopment of common mental disorders. En ligne : http://dx.doi.org/10.1111/jcpp.12416 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=273
in Journal of Child Psychology and Psychiatry > 56-12 (December 2015) . - p.1356-1369[article] The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative [Texte imprimé et/ou numérique] / Monica E. CALKINS, Auteur ; Kathleen R. MERIKANGAS, Auteur ; Tyler M. MOORE, Auteur ; Marcy BURSTEIN, Auteur ; Meckenzie A. BEHR, Auteur ; Theodore D. SATTERTHWAITE, Auteur ; Kosha RUPAREL, Auteur ; Daniel H. WOLF, Auteur ; David R. ROALF, Auteur ; Frank D. MENTCH, Auteur ; Haijun QIU, Auteur ; Rosetta CHIAVACCI, Auteur ; John J. CONNOLLY, Auteur ; Patrick M. A. SLEIMAN, Auteur ; Ruben C. GUR, Auteur ; Hakon HAKONARSON, Auteur ; Raquel E. GUR, Auteur . - p.1356-1369.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 56-12 (December 2015) . - p.1356-1369
Mots-clés : Community cohort children adolescents young adults psychopathology mood anxiety behavior psychosis comorbidity structure genomics neuroimaging neurocognition public domain Index. décimale : PER Périodiques Résumé : Background An integrative multidisciplinary approach is required to elucidate the multiple factors that shape neurodevelopmental trajectories of mental disorders. The Philadelphia Neurodevelopmental Cohort (PNC), funded by the National Institute of Mental Health Grand Opportunity (GO) mechanism of the American Recovery and Reinvestment Act, was designed to characterize clinical and neurobehavioral phenotypes of genotyped youths. Data generated, which are recently available through the NIMH Database of Genotypes and Phenotypes (dbGaP), have garnered considerable interest. We provide an overview of PNC recruitment and clinical assessment methods to allow informed use and interpretation of the PNC resource by the scientific community. We also evaluate the structure of the assessment tools and their criterion validity. Methods Participants were recruited from a large pool of youths (n = 13,958) previously identified and genotyped at The Children's Hospital of Philadelphia. A comprehensive computerized tool for structured evaluation of psychopathology domains (GOASSESS) was constructed. We administered GOASSESS to all participants and used factor analysis to evaluate its structure. Results A total of 9,498 youths (aged 8–21; mean age = 14.2; European American = 55.8%; African American = 32.9%; Other = 11.4%) were enrolled. Factor analysis revealed a strong general psychopathology factor, and specific ‘anxious-misery’, ‘fear’, and ‘behavior’ factors. The ‘behavior’ factor had a small negative correlation (?0.21) with overall accuracy of neurocognitive performance, particularly in tests of executive and complex reasoning. Being female had a high association with the ‘anxious-misery’ and low association with the ‘behavior’ factors. The psychosis spectrum was also best characterized by a general factor and three specific factors: ideas about ‘special abilities/persecution,’ ‘unusual thoughts/perceptions’, and ‘negative/disorganized’ symptoms. Conclusions The PNC assessment mechanism yielded psychopathology data with strong factorial validity in a large diverse community cohort of genotyped youths. Factor scores should be useful for dimensional integration with other modalities (neuroimaging, genomics). Thus, PNC public domain resources can advance understanding of complex inter-relationships among genes, cognition, brain, and behavior involved in neurodevelopment of common mental disorders. En ligne : http://dx.doi.org/10.1111/jcpp.12416 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=273